Serverless Application Development

Run code for your application or backend service without managing or provisioning server and pay only for the time
your code is running with AWS Lambda. Focus on building the product, not the infrastructure to run it.

Serverless Application Development

Go Serverless

Tie Your Serverless Application Around AWS Serverless Platform

Stop worrying and start building your application without worrying about servers. Switch to AWS serverless platform with TOPS.

Orchestration & State Management

We organize and manage the state of each distributed component or microservice of your serverless application using AWS Step Functions.

Application Modeling Framework

We use the open source AWS Serverless Application Model to model and deploy your serverless applications and services.

Application & Integrations Library

We use the AWS Serverless Application Repository to quickly discover and deploy serverless applications and application components.

Security & Access Control

We enforce compliance and secure your entire IT environment with logging, change tracking, access controls, and encryption.

For a Complete Suite of Serverless Application Development Services, Trust TOPS

Our expert time of AWS Lambda developers can make your application truly serverless with a slew of services around serverless application development.

Serverless Application Development

Our AWS developers are ready to build your next application serverless with AWS Lambda.

AWS Lambda Migration

We will migrate your existing applications on EC2 and EB to AWS Lambda with minimal hassles.

API Integration

We make call to Lambda functions from within your web and mobile with Amazon API Gateway.

Lambda Function Setup

We convert your code into a Lambda function by uploading it to AWS Lambda.

Custom Backend Development

We build serverless backends using AWS Lambda to handle Web, Mobile, Internet of Things (IoT), etc.

Runtime API Configuration

If the programming language your code is lacks native Lambda support, we add it with Runtime APIs.

We Serve Diverse Industry Verticals with Our Serverless Application Development Services



We build serverless healthcare applications with AWS Lambda.



React gives your hotel management system a true scalability.



Build your custom retail or ecommerce website with AWS Lambda.



For truly scalable enterprise apps, convert them into Lambda functions.



Build real-time Node applications without worrying about the infrastructure.



If you’re looking to develop a learning platform, serverless can do the trick.

Create the Ultimate Serverless Application with AWS Lambda

An Illustration of Our Approach to Serverless Application Development Around AWS Lambda

The Various Components of AWS Serverless Platform

AWS Lambda

Run your code without provisioning or managing servers.


Run Lambda functions in response to Amazon CloudFront events.

AWS Fargate

Run your containers without managing an EC2 instance.

When you have fixed storage requirements.

When you have dynamic storage requirements.

Amazon DynamoDB

A NoSQL database you are gonna love.

Amazon Aurora Serverless

An on-demand, auto-scaling configuration for Amazon Aurora.

Amazon API Gateway

To create, publish, maintain, monitor, and secure API.

Amazon SNS

A fully managed pub/sub messaging service.

Amazon SQS

A fully managed message queuing service.

Amazon Kinesis

Analytics service when data is live.

Amazon Athena

Analytics service when data sits in S3.

AWS Serverless Application Model (AWS SAM)

Our go-to framework for serverless development.


When you want to build, manage AWS Lambda functions.

Serverless Framework

The most widely-adopted framework for building serverless applications.

Frequently Asked Questions About Serverless Application Development

Serverless computing is a new buzzword in the world of software development and operations. This computing platform allows you to build and run your application or backend service without worrying about setting or managing a server. In case of Amazon Serverless Platform, Amazon manages the server resources on your behalf, scaling up and down the server resources as per the demand.

AWS Lambda is at the centre of Amazon serverless platform and perform. AWS Lambda allows you to add custom logic to AWS resources such as Amazon S3 buckets and Amazon DynamoDB tables. It lets you create Lambda API triggered on-demand backend services.

Above all, AWS Lambda manages all the infrastructure to run your application code. Moreover, It auto-scales the code to incoming requests in a secure environment bounded by AWS Identity and Access Management (IAM).

AWS Lambda are triggered in response to events published by an events source. An event source could be an AWS service or a custom application. Lambda can poll for events if the AWS service doesn’t publishes events to trigger a function. For example, AWS Lambda can trigger a Lambda function for each fetched message from Amazon SQS queue.

Also, your web and mobile application can call Lambda APIs via secure Amazon API Gateway.

If you’re thinking your EC2 instances with Lambda functions, you should consider a few things. One of the million dollar question you should ask your developers is this that, “How complex is the code?” A call to Lambda function should execute in less 300 hours or it will timeout. So if you’re running long jobs in those functions, AWS Lambda isn’t for you. In addition, you should better stick to EC2 if an application’s needs for CPU and memory are skewed to need significantly more CPU or memory.

If you are deploying instances for applications that are continuously polling for events in your AWS services, then there is no better option but AWS Lambda because you only pay for the time your code runs.

Amazon came close to serverless efforts with EB (Elastic Beanstalk). EB allows developers to upload code directly to the machines through the AWS GUI as compressed packages much like AWS Lambda does. However, unlike Lambda, EB allows developers to configure autoscaling, permits sysadmins and devs to log into the EC2 machines that Elastic Beanstalk sits on and make alterations, and grants access to load balancer with defined endpoints.

AWS Lambda sits on ECS; thus, there are no EC2 machines in question. Since the underlying infrastructure is inaccessible and scale is not configurable (read: auto-scaling), sysadmins has no job. The containers once orchestrated on Amazon Elastic Container Registry (ECR) can’t be modified. Although load balancer endpoints are missing, you can still access them via Amazon API Gateway. Another advantage ECS brings to AWS Lambda is AWS Fargate. The time when you had to manage servers or clusters just for the sake of running your containers is gone. Fargate scales and manages the infrastructure required to run your containers.

It is a set of fully managed services that you can use to build and run serverless applications. Amazon Serverless Platform includes many AWS services for compute, storage and database requirement. It, also, includes developer, analytics and orchestration tools.

The code you run on AWS Lambda is uploaded as a “Lambda function”.

AWS Lambda stores code in Amazon S3 and encrypts it at rest. AWS Lambda performs additional integrity checks while your code is in use. This is in line with most AWS services including EC2.

AWS Lambda runs Java, Go, PowerShell, Node.js, C#, Python, and Ruby. In addition, it provides a Runtime API to run additional programming languages to author Lambda functions. Moreover, Lambda functions must be “stateless”. That is, they should be independent of the underlying compute infrastructure.

That isn’t required since AWS Lambda scales Lambda function on your behalf whenever it receives an event notification for it. An triggers AWS Lambda to locate free capacity within its compute fleet and call your Lambda function. Stateless functions allow AWS Lambda make many copies of your function to upscale the application without causing any sort of delay in deployment and configuration. AWS Lambda enforces no limit to scaling your function unless the progress is contained because of limited memory allocation.


Migrate Your Application from An EC2 Instance to AWS Serverless
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